We are looking for…

Senior Director Data Engineering

location-logo Remote, United States
suitcase-logo
gear-logo Engineering

We want people who are passionate about solving today’s healthcare challenges and positively impacting people’s health and well-being.

After all, that’s what we’ve been focusing on for the past six years. We’re on a purpose-driven journey to impact the future with a healthcare system that cares. The healthcare industry is undergoing a massive transformation, and Innovaccer is helping organizations effectively care for patients in today’s digital world. Our story began when a handful of go-getters got together to tackle one of the healthcare industry’s most pressing needs: a one-stop, whole-patient data bank that breaks down data silos to help teams provide the best care possible. Our mission to care as one is centered around the need for an integrated patient view to improve care delivery.
And you don’t have to take our word for it; Innovaccer recently achieved unicorn status as one of the fastest-growing companies in healthcare technology.
Innovaccer is uniquely positioned in the marketplace and is building a one-of-a-kind healthcare cloud that will enable users to develop applications and solve long-standing healthcare challenges. See our latest KLAS ranking.

Working here is different.

We take pride in our grit and purpose-driven work ethic. It’s why we’ve been able to solve some of healthcare’s most challenging problems and why we continue to energetically take on incredible challenges.
We dream, we collaborate, we experiment, and we break new ground. We’re a strong team that looks out for each other.

At Innovaccer, you can expect plenty of support and guidance from your colleagues with opportunities to learn, grow, and make a difference.
We love organized chaos. So, if you are looking for a typical 9 to 5 job where you are told what to do, this may not be for you. When you work with Innovaccer, you are your own boss.

Your Role

We are looking for Sr. Director - Data Engineering to join the  Engineering team. The Sr. Director - Data Engineering  is responsible for developing the vision, and roadmap for data engineering at Innovaccer

 

A Day in the Life

  • The primary accountability for the person filling this role is to be a key leader in the Data Engineering Chapter for the Decision Analytics and Information Delivery skilled engineers and to be an active participant in Enterprise Data & Analytics strategic initiatives:
  • Develop a robust talent pipeline. Provide unique opportunities and challenges to each team member to enrich development.
  • Build Data Warehouses (Redshift, Synapse, Snowflake, etc)
  • ETL Processes: Kinesis, Data Factory, SSIS, Data Pipeline, Glue, etc
  • Reporting & Analytics: PowerBI, Tableau, etc.
  • Ensure consistent use of design patterns and best practices necessary for increased access to data and actionable information and implement strategic solutions to sustain these capabilities.
  • Participate in the Enterprise Decision Analytics and Insights leadership team.
  • Ensure adherence to common Decision Analytics, Data Architecture, and design patterns
  • Provide mentorship and train staff on standards and policies around best practices
  • Work directly with the business partners to understand review business analytics needs and collaborate with Circle architects on designing and implementing strategic solutions
  • Build and develop discipline-specific capabilities across multiple teams, equipping individuals with the skills, tools, and standard approaches to improve the overall quality of engineering practices and skillsets.

 

What You Need

  • The candidate for this position will have had at least 10 years of working experience in a data engineering capacity. Experience in healthcare is a plus.
  •  The candidate  will also have 5+ years of  experience in leading data engineering teams
  • Should have strong expertise in, data engineering, software engineering, cloud vendors, big data technologies, real-time streaming applications, DevOps, and product delivery.
  • The candidate will also have extensive experience solving analytical issues through quantitative approaches and machine learning methods as well as vast experience using advanced statistical methods, data mining techniques, and information retrieval.
  • The candidate must also be an expert in modern machine learning techniques as well as knowledge of A/B testing, experimental design, and general statistical modeling.
  • A suitable candidate will show comfort in analyzing and manipulating large, complex, high-dimensional data from numerous sources.
  • The candidate should have hands-on experience with data modeling/development software (ie. R, Pandas, Jupyter Notebook, Spark MLlib, TensorFlow) as well as should have worked with various data science platforms such as Databricks, Sagemaker, etc. The candidate will also have had experience working with distributed computing tools such as Hadoop, PySpark as well as experience working with big data technologies such as SQL,